Great list of talks by Mark Callaghan covering more than 10 years #mysql #mongodb #rocksdb
http://smalldatum.blogspot.com/2019/12/slides-for-talks-i-have-given-on-mysql.html
http://smalldatum.blogspot.com/2019/12/slides-for-talks-i-have-given-on-mysql.html
Blogspot
Slides for talks I have given on MySQL, MongoDB and RocksDB
It all started for me with the Google patch for MySQL in April 2007. The Register summary of that included a Cringely story repeated by ...
https://github.com/bitleak/kvrocks
the kvrocks(kv-rocks) is SSD NoSQL which based on rocksdb, and compatible with the Redis protocol, intention to decrease the cost of memory and increase the capability
#redis #nosql #rocksdb #kvrock
the kvrocks(kv-rocks) is SSD NoSQL which based on rocksdb, and compatible with the Redis protocol, intention to decrease the cost of memory and increase the capability
#redis #nosql #rocksdb #kvrock
MyRocks tables tend to take a lot less space than Innodb - 2x space savings as in this case is actually on the lower side of the range
https://www.percona.com/blog/2020/08/04/the-road-story-of-a-myrocks-mariadb-migration/
#mysql #mariadb #innodb #rocksdb
https://www.percona.com/blog/2020/08/04/the-road-story-of-a-myrocks-mariadb-migration/
#mysql #mariadb #innodb #rocksdb
Percona Database Performance Blog
The Road Story of a MyRocks/MariaDB Migration - Percona Database Performance Blog
At last a road story of an iterative tuning effort of a database using the MyRocks storage engine. Follow our steps and get the most from MyRocks!
Summarizing the different implementations of tiered compaction
http://smalldatum.blogspot.com/2021/12/summarizing-different-implementations.html
#scylladb #rocksdb #cassandra #hbase #compaction
http://smalldatum.blogspot.com/2021/12/summarizing-different-implementations.html
#scylladb #rocksdb #cassandra #hbase #compaction
SlateDB
https://github.com/slatedb/slatedb
#rocksdb #database #storage #embedded #objectstorage #lsm
SlateDB is an embedded storage engine built as a log-structured merge-tree. Unlike traditional LSM-tree storage engines, SlateDB writes data to object storage (S3, GCS, ABS, MinIO, Tigris, and so on). Leveraging object storage allows SlateDB to provide bottomless storage capacity, high durability, and easy replication. The trade-off is that object storage has a higher latency and higher API cost than local disk.
https://github.com/slatedb/slatedb
#rocksdb #database #storage #embedded #objectstorage #lsm